6533b828fe1ef96bd1287c29

RESEARCH PRODUCT

Human T cells in silico: Modelling their electrophysiological behaviour in health and disease

Susann PankratzMichael HertyThomas BuddeSven G. MeuthPaul EichingerPaul EichingerAlexander M. HerrmannPetra EhlingPatrick MeuthMatthias PawlowskiMatthias PawlowskiStefan Bittner

subject

CD4-Positive T-Lymphocytes0301 basic medicineStatistics and ProbabilityT-LymphocytesT cellIn silicoElectrophysiological PhenomenaBiologyModels BiologicalIon ChannelsGeneral Biochemistry Genetics and Molecular BiologyMembrane Potentials03 medical and health sciences0302 clinical medicineTRPM7CationsmedicineHumansComputer SimulationDiseasePatch clampIon channelMembrane potentialGeneral Immunology and MicrobiologyApplied MathematicsGeneral MedicineHydrogen-Ion ConcentrationElectrophysiological PhenomenaElectrophysiology030104 developmental biologymedicine.anatomical_structureSpinal CordHealthModeling and SimulationImmunologyPotassiumCalciumGeneral Agricultural and Biological SciencesIon Channel GatingNeuroscience030217 neurology & neurosurgery

description

Although various types of ion channels are known to have an impact on human T cell effector functions, their exact mechanisms of influence are still poorly understood. The patch clamp technique is a well-established method for the investigation of ion channels in neurons and T cells. However, small cell sizes and limited selectivity of pharmacological blockers restrict the value of this experimental approach. Building a realistic T cell computer model therefore can help to overcome these kinds of limitations as well as reduce the overall experimental effort. The computer model introduced here was fed off ion channel parameters from literature and new experimental data. It is capable of simulating the electrophysiological behaviour of resting and activated human CD4(+) T cells under basal conditions and during extracellular acidification. The latter allows for the very first time to assess the electrophysiological consequences of tissue acidosis accompanying most forms of inflammation.

https://doi.org/10.1016/j.jtbi.2016.06.001